College of Science and Technology

Data Analytics

Degree Offered: M.S.

The Master of Science in Data Analytics (MSDAAN) program is designed for professionals seeking to uncover insights from data using cutting-edge skills. The program prepares students for careers in a field of growing national need, and is available in online and on-campus modalities with an online option designed for working professionals. The MSDAAN program imparts advanced knowledge on current and future practices and tools to examine data sets, conduct analysis of the data, and draw conclusions about the information they contain.

 

The M.S. in Data Analytics program aims to:

  • Help students develop a comprehensive understanding and mastery of the state-of-the-art Data analytics techniques.
  • Prepare students to practice data-driven problem analysis, information retrieval and decision-making.
  • Give students practical, hands-on experience with statistical programming languages, data analysis and visualization tools through coursework and project-based learning experiences.
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Graduates of the program will acquire the following essential data analytics skills:

  • Statistical inference and modeling
  • R, Python, Tableau and/or SQL programming
  • Data extraction, processing and wrangling
  • Data mining and machine learning algorithms
  • Big data analytics
  • Data visualization and communications.

This skill set will make the graduates of program effective predictive modelers, engaging team players, and persuasive communicators, help them advance their professional goals, and improve and enhance their marketability. 

 

Admission Requirements:

  • A Bachelor’s degree in STEM, business and economics, behavioral and health sciences, agricultural economics, education, or a B.A./B.S. degree in humanities or social sciences with at least a 3.0 undergraduate GPA.
  • One course in probability and statistics and one course in algorithmic problem-solving using data analysis and visualization programming language such as Python, R or MATLAB).
  • If an applicant fails to meet the prerequisite course requirements, the student will be required to take one or two courses to fulfill the prerequisite course requirements with a grade of B or higher.

 Program Requirements:

  • 30 credit hours with 15 credit hours in five core courses, 12 credit hours in four elective courses, and three credit hours in master’s practicum.
  • Up to 12 graduate level credit hours transferable.
  • One of the two concentrations: Business Analytics, and Advanced Analytics.

 Job Market and Salary Expectations:

Data scientist roles, including business analyst positions, are projected to grow by 36% from 2023 to 2033, significantly outpacing the average growth rate for all occupations (Bureau of Labor Statistics). In 2024, the national average salary of master data analyst is $92,247 (ZipRecruiter).

Graduates of the Data Analytics master’s program often pursue careers as data scientists, data analysts, data managers, business analysts, data modelers, and similar roles across various industries, including:

  • Banking, finance, and insurance
  • IT, AI, software development
  • Media, entertainment, and sports
  • Healthcare, public health, and medicine
  • Manufacturing, retail, and transportation
  • Public administration and education
  • Scientific research and professional consulting

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Contact Information:
Graduate Coordinator: Dr. Seong-Tae “Ty” Kim  email: skim@ncat.edu